1,720,960 research outputs found
Sensori a pavimento per l’interazione uomo-ambiente secondo il paradigma IoT
No full textNegli ultimi anni la ricerca nell’ambito degli ambienti intelligenti ha ricevuto un crescente interesse da parte della comunità scientifica e ciò ha consentito lo sviluppo di moltissimi servizi che aiutano le persone nelle loro vita quotidiana.
La domotica, l’e-health, la sorveglianza, l’intrattenimento, l’industria intelligente sono solo alcuni dei settori che possono trarre beneficio da questo tipo di tecnologie.
In passato sono stati proposti diversi tipi di pavimenti sensorizzati per specifiche applicazioni, ma queste soluzioni sono risultate eccessivamente costose e difficili da installare.
In questo lavoro di tesi, descriveremo la progettazione e l’implementazione di una nuova tecnologia denominata “Florim Age”: un innovativo pavimento sensorizzato che risulta essere un’interfaccia con caratteristiche quali versatilità di utilizzo, scalabilità ed efficienza, facilmente impiegabile nell’ambito dell’ Internet of Things (IoT).
Descriveremo il sistema proposto in tutte le sue parti, partendo dalla strumentazione hardware, che cattura le variazioni subite dal campo di pressione a seguito del movimento delle persone sul pavimento stesso, fino alle applicazioni software di più alto livello. Definiremo inoltre dettagli sugli algoritmi di elaborazione dei dati da pavimento, sui protocolli di comunicazione e sull’architettura del sistema.
In particolare, abbiamo preso in considerazione tre tipi differenti di applicazioni: la sorveglianza in tempo reale, l’interazione uomo-computer e la cosiddetta zone-satistic. Nel primo caso, abbiamo proposto e testato algoritmi per il riconoscimento automatico di azioni e di comportamenti umani. Nel secondo caso, il pavimento è stato utilizzato come dispositivo di input per giochi ed applicazioni interattive. Ed infine, abbiamo utilizzato il pavimento sensorizzato per sviluppare dei sistemi di conteggio automatico delle persone e l'analisi dei punti di interesse in aree controllate. Tutte le applicazioni sono state accuratamente testate in laboratorio e presso installazioni pubbliche.In recent years, the research on sensing environments has received considerable interest, allowing a plethora of intelligent services to help people in their everyday life.
Intelligent building automation, e-health, surveillance, entertainment, smart factories are only few examples of applications which can benefit from this technology.
Different kinds of sensing floors have been proposed in the past, but they are conceived for specific applications and often very expensive and difficult to install.
In this thesis, we describe the design and implementation of the "Florim Age" technology: a new, versatile, scalable and cost-effective interface based on sensing floors compliant with the Internet of Things (Iot) approach.
All the components of the proposed framework are described and presented, from the hardware device, which captures the pressure field variations generated by moving people, to the high level applications. Algorithms of floor data processing, communication protocols, and system architecture details are also defined.
In particular, three different application types have been addressed: real-time surveillance, human-computer interaction, and zone statistics. In the first case, we proposed and tested algorithms for action recognition and human behavior understanding. In the second case, the floor has been used as input device for games and interactive applications. Finally, we exploited the sensing floor technology to develop people counting and zone statistics systems. All these applications have been deeply tested on both laboratory and public installations
A General-Purpose Sensing Floor Architecture for Human-Environment Interaction
No full textSmart environments are now designed as natural interfaces to capture and understand human behavior without a need for explicit human-computer interaction. In this paper, we present a general-purpose architecture that acquires and understands human behaviors through a sensing floor. The pressure field generated by moving people is captured and analyzed. Specific actions and events are then detected by a low-level processing engine and sent to high-level interfaces providing different functions. The proposed architecture and sensors are modular, general-purpose, cheap, and suitable for both small- and large-area coverage. Some sample entertainment and virtual reality applications that we developed to test the platform are presented
Automatic configuration and calibration of modular sensing floors
No full textSensing floors are becoming an emerging solution for many privacy-compliant and large area surveillance systems. Many research and even commercial Technologies have been proposed in the last years. Similarly to distributed camera networks, the problem of calibration is crucial, specially when installed in wide areas. This paper addresses the general problem of automatic calibration and configuration of modular and scalable sensing floors. Working on training data only, the system automatically finds the spatial placement of each sensor module and estimates threshold parameters needed for people detection. Tests on several training sequences captured with a commercial sensing floor are provided to validate the metho
Going Beyond Counting First Authors in Author Co-citation Analysis
Full text linkThe present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation
counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings
are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that
only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into
account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed
Variations on the Author
Full text link“Variations on the Author” discusses two of Eduardo Coutinho’s recent films (Um Dia na Vida, from 2010, and Últimas Conversas, posthumously released in 2015) and their contribution to the general question of documentary authorship. The director’s filmography is characterized by a consistent yet self-effacing form of authorial self-inscription: Coutinho often features as an interviewer that rather than express opinions propels discourses; an interviewer that is good at listening. This mode of self-inscription characterizes him as an author who is not expressive but who is nonetheless markedly present on the screen. In Um Dia na Vida, however, Coutinho is completely absent form the image, while Últimas Conversas, on the contrary, includes a confessional prologue that moves the director from the margins to the center of his films. This article examines the ways in which these works stand out in the filmography of a director who offers new insights into the notion of cinematic authorship
Appropriate Similarity Measures for Author Cocitation Analysis
Full text linkWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
Dispelling the Myths Behind First-author Citation Counts
Full text linkWe conducted a full-scale evaluative citation analysis study of scholars in the XML research field to explore just how different from each other author rankings resulting from different citation counting methods actually are, and to demonstrate the capability of emerging data and tools on the Web in supporting more realistic citation counting methods. Our results contest some common arguments for the continued
use of first-author citation counts in the evaluation of scholars, such as high correlations between author rankings by first-author citation counts and other citation
counting methods, and high costs of using more realistic citation counting methods that are not well-supported by the ISI databases. It is argued that increasingly available digital full text research papers make it possible for citation analysis studies to go beyond what the ISI databases have directly supported and to employ more
sophisticated methods
Sensing floors for privacy-compliant surveillance of wide areas
No full textSurveillance systems can really benefit from the integration of multiple and heterogeneous sensors. In this paper we describe an innovative sensing floor. Thanks to its low cost and ease of installation, the floor is suitable for both private and public environments, from narrow zones to wide areas. The floor is made adding a sensing layer below commercial floating tiles. The sensor is scalable, reliable, and completely invisible to the users. The temporal and spatial resolutions of the data are high enough to identify the presence of people, to recognize their behavior and to detect events in a privacy compliant way. Experimental results on a real prototype implementation confirm the potentiality of the framework
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